{"id":"W4245192977","doi":"10.1190/tle35030285.1","title":"Cova: The first SEG Wiki Student Champion","year":2016,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Champion; Joins; Competition (biology); World Wide Web; Computer science; Library science; History; Programming language; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003834946,0.001092377,0.0007141046,0.001882659,0.007634894,0.00897334,0.001711802,0.003116464,0.07013717],"category_scores_gemma":[0.009101571,0.0005563616,0.0004723402,0.00176648,0.00144602,0.006330193,0.0102712,0.004122516,0.04373118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003692439,"about_ca_system_score_gemma":0.009055192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01331835,"about_ca_topic_score_gemma":0.07415504,"domain_scores_codex":[0.9961152,0.0005130278,0.0001034983,0.000472131,0.001982489,0.0008135883],"domain_scores_gemma":[0.9915572,0.0002987554,0.0002493349,0.000273936,0.00288895,0.004731752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002437146,0.000022321,0.0003771474,0.0000314854,0.000002773159,0.00006722286,0.001575635,0.00002407429,0.0002224116,0.002389176,0.980478,0.01478527],"study_design_scores_gemma":[0.000001972533,0.0000117775,0.0002043867,0.00002109926,0.00000101658,0.00003004203,0.001147043,0.00002800711,0.0001409928,0.0002730743,0.9981328,0.000007850793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03732104,0.008026835,0.009059266,0.1524581,0.104045,0.0006969572,0.004955658,0.008372125,0.675065],"genre_scores_gemma":[0.02889647,0.0009430475,0.003321375,0.009838426,0.003092672,0.000248901,0.00316463,0.002784634,0.9477097],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07013717,"threshold_uncertainty_score":0.2346322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06618799049254416,"score_gpt":0.2550852799323111,"score_spread":0.1888972894397669,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}